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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Utilization of Mean and Median Strains in Principal and Independent Component Analysis to Remove Motion Artefact from Electrocardiography Signals

Kalra, A; Lowe, A
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Journal article (927.7Kb)
Permanent link
http://hdl.handle.net/10292/13390
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Abstract
Motion artefact is the biggest concern in Electrocardiogram signals, especially when recording long-term measurements. Current studies fail to address the major source of motion artefact, which is skin stretch. This study utilizes two-dimensional strain fields as motion information in two advanced algorithms- Principal Component Analysis (PCA) and Independent Component Analysis (ICA). The strain fields were computed using point tracking and infinitesimal strain theory and a comparison of mean and median strains as motion information was made. The highest improvement in Signal to Noise ratio (SNR) was observed when the mean values of strain fields over a region of interest per ECG sample were taken as motion information in ICA. The lowest SNRs were obtained when PCA and ICA were implemented without any motion information.
Keywords
Electrocardiogram; Principal Component Analysis; Independent Component Analysis; Skin-stretch
Source
Modern Applied Science; Vol. 14, No. 8; 2020
Item Type
Journal Article
Publisher
Canadian Center of Science and Education
DOI
10.5539/mas.v14n8p1
Publisher's Version
http://www.ccsenet.org/journal/index.php/mas/article/view/0/42840
Rights Statement
Copyright for this article is retained by the author(s), with first publication rights granted to the journal. This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).

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